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Passive UHF RFID Voice Prosthesis Mounted Sensor for Microbial Growth Detection

Makarovaite, Viktorija, Hillier, Aaron, Holder, Simon J., Gourlay, Campbell W., Batchelor, John C. (2020) Passive UHF RFID Voice Prosthesis Mounted Sensor for Microbial Growth Detection. IEEE Journal of Radio Frequency Identification, 4 (4). pp. 384-390. ISSN 2469-7281. E-ISSN 2469-729X. (doi:10.1109/JRFID.2020.3011900) (KAR id:82279)

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http://dx.doi.org/10.1109/JRFID.2020.3011900

Abstract

Capacitive loading due to human tissue can lead to low efficiency for implantable Passive Radio Frequency Identification (RFID) antennas. The presented passive UHF antenna sensor provides read distances above 0.5 meters (within a body phantom) by utilizing a convoluted half-wave dipole design. It is able to detect simulated early to mature Candida albicans biofilm growth when mounted upon a voice prosthesis (up to a 30 μm biofilm thickness). Depending on the propagation frequency of interest, as early 4-hour growth (5 to 10 μm biofilm thickness) equivalent could be detected and before any device failure could occur due to the colonization. This was accomplished by utilising thin layers of polyurethane to decouple the saliva from the presented UHF sensor (biofilm growth is known to increase layer hydrophobicity). This presented sensor has better functionality within the US UHF frequency band as it detects changes above 5 μm. If there is a need for implantation within additional tissues with variable dielectric properties, a shunt capacitance of 2.6 pF could allow the system functionality within the permittivity range of 21 to 58. Allowing for immediate medical intervention before medical prosthesis failure

Item Type: Article
DOI/Identification number: 10.1109/JRFID.2020.3011900
Uncontrolled keywords: Radiofrequency identification, Phantoms, Dielectrics, Neck, Prosthetics , Dielectric measurement, Integrated circuits, UHF, Implantable ,Design, Sensor, Microbial detection
Subjects: Q Science > Q Science (General)
Divisions: Divisions > Division of Natural Sciences > School of Biosciences
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Divisions > Division of Natural Sciences > School of Physical Sciences
Depositing User: John Batchelor
Date Deposited: 29 Jul 2020 15:25 UTC
Last Modified: 16 Feb 2021 14:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/82279 (The current URI for this page, for reference purposes)
Holder, Simon J.: https://orcid.org/0000-0001-8977-9257
Gourlay, Campbell W.: https://orcid.org/0000-0002-2373-6788
Batchelor, John C.: https://orcid.org/0000-0002-5139-5765
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